collab-proof
Assisted retrospective: after a session, calibrates what Claude contributed vs what the developer drove. LLM-assessed 4-frame analysis with explicit rubric, zero dependencies.
Pacote de plugins · de dong7812
Resumo
collab-proof é um pacote de plugins para ferramentas de programação com IA publicado por dong7812. Marketplaces que lemos e que o listam: 1 (Community GitHub marketplaces). A última mudança que registramos foi em 2026-10-26. Conforme nossa passagem pelos marketplaces em 2026-10-26.
O que pede
- Instala-se como pacote de plugins
Nenhum dos marketplaces que lemos publica as ferramentas ou as configurações que ele pede.
O que declara, pede e executa, por completo
Instale apenas plugins de desenvolvedores em quem você confia. Mostramos o que os marketplaces publicam e não testamos plugins.
Funciona com
- Claude Code
Pelos marketplaces que o listam e pelo transporte MCP que declara, conforme cada cliente documenta. Não testamos plugins.
Conectar
Comandos e configurações gerados apenas a partir do que os marketplaces declaram. Não os executamos por você e não testamos plugins.
Como plugin do Claude Code
Gerado a partir do que Community GitHub marketplaces declara.
/plugin marketplace add alirezarezvani/claude-skills
/plugin install collab-proof@claude-code-skillsOnde está publicado
| Marketplace | Status | Versão | Números | Verificado | Visto pela primeira vez |
|---|---|---|---|---|---|
| Marketplace da comunidade alirezarezvani/claude-skills (Abrir o código no GitHub) | Listado | 2.14.1 | Forks (GitHub): 3 987 Estrelas (GitHub): 28 744 |
Sem marcação |
Cada número é do próprio marketplace e nunca é somado entre marketplaces. Um marketplace que não publica números não mostra nenhum: sem número não é zero.
Listado em um marketplace da comunidade
| Marketplace | Repositório | Estrelas (GitHub) |
|---|---|---|
| claude-code-skills | alirezarezvani/claude-skills | 28 744 |
Como os números mudaram
- 2026-10-154 mil
- 2026-10-164 mil
- 2026-10-174 mil
- 2026-10-184,1 mil
- 2026-10-204,1 mil
- 2026-10-214 mil
- 2026-10-224 mil
- 2026-10-234 mil
- 2026-10-254 mil
- 2026-10-264 mil
- 2026-10-1528,2 mil
- 2026-10-1628,3 mil
- 2026-10-1728,3 mil
- 2026-10-1828,4 mil
- 2026-10-2028,4 mil
- 2026-10-2128,5 mil
- 2026-10-2228,5 mil
- 2026-10-2328,6 mil
- 2026-10-2528,7 mil
- 2026-10-2628,7 mil
Cada ponto é um dia em que lemos um número diferente; os trechos planos são dias em que o número não mudou. Números de marketplaces diferentes nunca são somados.
O que o pacote contém
Conforme publicado em Community GitHub marketplaces.
Skills: 1
collab-proof
O que mudou
- Community GitHub marketplaces: lançou a versão 2.14.1 (antes 1.0.0)
- Passou a ser um produto que acompanhamos
- Community GitHub marketplaces: apareceu
Plugins semelhantes
Produtos cujos próprios nomes, descrições, ferramentas e skills são os mais próximos deste pelo significado, em todos os marketplaces que lemos. A proximidade é ordenada apenas dentro desta lista.
-
Retrospective analysis: session reports, collaborative retrospectives, and domain retrospectives
-
An agile retrospective skill for your Claude collaboration sessions. Capture what you learned. Apply the fix. Make the next session better.
-
Retrospective of one Claude Code session from its jsonl log, published as an artifact page: where the time went between the AI working and the person reading, thinking and typing…
-
Analyze Claude Code session logs to identify what went well, what didn't, and how to improve developer-AI collaboration. Suggests new skills, subagents, slash commands, hooks, and…
-
Structured, facilitated team reflection comparing expected vs. actual outcomes and identifying concrete improvements. Best for sprint retrospectives and post-launch reviews.
-
Self-improving measurement layer for Claude Code. Reads JSONL session data, computes effectiveness metrics, writes behavioral rules into CLAUDE.md.
-
Grade an agent setup from real conversation history — a rebuild of warpdotdev/common-skills' skill-doctor (MIT). Harvests recent local Claude Code and Codex sessions scoped to one…
-
team-assessment
Assess your product team's AI autonomy maturity across 6 dimensions. Generates team-assessment.md and radar-chart.svg.
-
Run structured multi-agent decision reviews with Codex, Claude Code, and adapter-based CLI agents.
Plugins semelhantes por marketplace
A mesma pergunta feita a cada marketplace separadamente: existe lá um equivalente deste plugin?
Listado em Claude Code: claude-plugins-community (5)
-
Self-improving measurement layer for Claude Code. Reads JSONL session data, computes effectiveness metrics, writes behavioral rules into CLAUDE.md.
-
Automatically tracks your Claude Code sessions, tool calls, edited files, and active time. Stores everything locally in SQLite — no cloud, no telemetry. Adds 9 MCP tools so Claude…
-
Engineering management layer for Claude Code --- structures your session like a real dev team where you're PM and Claude is EM. Provides session workflows, multi-persona code…
-
Product analytics for AI coding agents. Understand how users navigate your app — where they engage, hesitate, and drop off — then connect behavioral insights directly to code…
-
Context engineering plugin for Claude Code — real-time prompt scoring, RLM adaptive weights, and token optimization. Scores every tool use across 5 dimensions (token utilization…
Listado em Claude Code: claude-plugins-official (5)
-
Generate an explorable HTML report of Claude Code session usage — tokens, cache efficiency, subagents, skills, and the most expensive prompts — from local ~/.claude/projects…
-
Skills for adding DeepEval evaluations, tracing, datasets, Confident AI reports, and iterative improvement loops to AI applications.
-
Langfuse observability plugin for Claude Code — captures and exports traces, spans, and session telemetry from Claude Code to Langfuse for LLM monitoring, debugging, and evaluation
-
Interactive self-referential AI loops for iterative development, implementing the Ralph Wiggum technique. Claude works on the same task repeatedly, seeing its previous work, until…
-
Detect AI agents in your codebase and instrument them with Pendo Agent Analytics via the best-fit path: Python SDK, TypeScript SDK, client-side trackAgent, or the Conversations…
Listado em Claude: knowledge-work-plugins (5)
-
Streamline engineering workflows — standups, code review, architecture decisions, incident response, and technical documentation. Works with your existing tools or standalone.
-
Bring Pendo product analytics into Claude Code: account health, feature adoption, session replay lookup and triage, feedback analysis, and data-informed planning grounded in real…
-
Skills for working with Langfuse, the open-source LLM engineering platform for tracing, prompt management, and evaluation.
-
Write feature specs, plan roadmaps, and synthesize user research faster. Keep stakeholders updated and stay ahead of the competitive landscape.
-
Connects Claude Code to the Synthflow AI voice-agent platform through its hosted MCP server, with skills for reviewing calls and auditing agent prompts, plus a docs-search…
Listado em Codex: openai-curated (openai/plugins) (5)
-
Evaluate Codex skills and plugins from chat with a beginner-friendly start command, local-first reports, token budget explanations, and guided benchmarking.
-
An agentic skills framework & software development methodology that works: planning, TDD, debugging, and collaboration workflows.
-
Answer product and business questions with data
-
Qodo setup, code intelligence, and review workflows.
-
Notion workflows for implementation planning, research synthesis, meeting preparation, and knowledge capture.
Listado em Community GitHub marketplaces (5)
-
Retrospective analysis: session reports, collaborative retrospectives, and domain retrospectives
-
An agile retrospective skill for your Claude collaboration sessions. Capture what you learned. Apply the fix. Make the next session better.
-
Retrospective of one Claude Code session from its jsonl log, published as an artifact page: where the time went between the AI working and the person reading, thinking and typing…
-
Analyze Claude Code session logs to identify what went well, what didn't, and how to improve developer-AI collaboration. Suggests new skills, subagents, slash commands, hooks, and…
-
Structured, facilitated team reflection comparing expected vs. actual outcomes and identifying concrete improvements. Best for sprint retrospectives and post-launch reviews.
Listado em Copilot CLI: github/awesome-copilot (5)
-
Turn your Copilot sessions into proof of impact — research-grounded HTML reports with effort estimation, skills analysis, and ROI metrics from local session logs.
-
A runtime-portable 5-agent quality gate that adjudicates text artifacts before they ship. Five role-conditioned LLM deliberators run a 2-round async protocol with cross-read…
-
Goal-driven task orchestration with independent verification. Interviews the user to define a clear goal, then loops between a Builder subagent (does the work) and an Inspector…
-
Plain-English translation layer for non-technical Copilot CLI users. Translates every approval prompt, error message, and technical output into clear, jargon-free English with…
-
MCP server and 12 skills for product analysis, specification writing, strategy, narrative, and stakeholder alignment. Run competitive analyses, write zero-question specs, design…
Listado em Copilot CLI: github/copilot-plugins (5)
-
workiq-productivity
WorkIQ productivity skills powered by the local WorkIQ CLI — read-only insights across email, meetings, calendar, Teams, SharePoint, projects, and people.
-
Toolkit for building Microsoft 365 Copilot declarative agents — scaffolding, JSON manifest development, and capability configuration.
-
Bring Azure DevOps work-item, repository, and pull-request workflows into GitHub Copilot.
-
workiq
Query Microsoft 365 data with natural language — emails, meetings, documents, Teams messages, and more.
-
Advanced Security plugin for GitHub Copilot.
Listado em Cursor: cursor/plugins (5)
-
Consult a stronger model before major decisions, when stuck, and before declaring done.
-
Skill mapping, practice plans, and learning retrospectives.
-
if you want to go fast, go deep first. pstack helps you write less, but higher quality code. rigorous agent workflows you can parallelize with confidence.
-
Track AI visibility, sentiment, and citations.
-
Iterative self-referential AI loops using the Ralph Wiggum technique.
Listado em Docker MCP Catalog (5)
-
Read and score Opik traces, experiments, datasets and prompts from your AI assistant.
-
Stop stitching context for Copilot and Cursor. With Sequa MCP, your AI tools know your entire codebase and docs out of the box.
-
Sequential Thinking (Reference)
Dynamic and reflective problem-solving through thought sequences.
-
Bridges multiple AI models and CLIs, enabling orchestrated workflows across Claude Code, Gemini CLI, Codex CLI, and other AI development tools.
-
MCP server for terminal commands, file operations, and process management
Listado em Official MCP Registry (5)
-
Context Assurance for AI agents: context engineering, AI cost optimization, verification.
-
Context hygiene for Claude Code: drift detection, re-read dedup, and token analytics.
-
pm-claude-skills io.github.mohitagw15856/pm-claude-skills
1310 professional Agent Skills + workflow recipes — searchable & fetchable over MCP.
-
eng-leadership-toolkit coach.marian/eng-leadership-toolkit
Engineering leadership benchmarks, 1:1 playbooks, developer value calculator. 3,662 sessions.
-
Community of Consciousness MCP Server — upload and explore collective wisdom via GitHub.
Listado em PyPI (MCP servers) (5)
-
hypermnesia-mcp io.github.cdeust/hypermnesia-mcp
Persistent memory for AI agents — 36 cited neuroscience mechanisms, local-first, hybrid retrieval.
-
Read and score Opik traces, experiments, datasets and prompts from your AI assistant.
-
Let one coding-agent CLI consult another: Codex, Claude Code, OpenCode, Copilot or Antigravity.
-
Read, measure and explain LLM eval runs of a digline suite. Cannot promote a baseline.
-
shortcut com.mcparmory/shortcut
Track stories, organize sprints, and manage project workflows across your team
Listado em npm registry (MCP servers) (5)
-
review-assist-mcp io.github.uditk2/review-assist-mcp
Turns an AI coding agent session into a reviewable Intent Document, validated against the diff.
-
speclock io.github.sgroy10/speclock
AI Constraint Engine — enforces CLAUDE.md and .cursorrules as laws. 51 MCP tools.
-
codescene-mcp-server com.codescene/codescene-mcp-server
An MCP server that provides CodeScene Code Health analysis tools.
-
mistral-mcp io.github.Swih/mistral-mcp
Mistral MCP server: extract invoices and documents from text, Markdown or OCR into typed JSON.
-
Shared project memory for Claude Code, Codex and Cursor: decisions, corrections, overlap warnings.
Encontrados pelo significado, não por código ou repositório em comum: plugins semelhantes continuam sendo produtos distintos, e isto não é uma avaliação nem uma recomendação.
Quer esta marca no seu plugin em nosso catálogo?
Prove que o mantém com um arquivo no repositório, um arquivo no seu domínio ou um registro DNS, e você poderá mostrar esta marca na ficha, com banners ao vivo para o seu site e o README. Como funciona a verificação
Você também recebe alertas quando um marketplace o publica, o remove, muda a marca de verificado ou o que ele pede, e o endpoint remoto passa a ser monitorado como um serviço web.
Dados de Community GitHub marketplaces. Os números vêm das nossas próprias passagens regulares pelos marketplaces, última leitura em . Não publicamos dados de contato dos editores de plugins.